An Advanced Data Augmentation Scheme on Limited EEG Signals for Human Emotion Recognition
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0248-4_27
Reference40 articles.
1. Ren F, Dong Y, Wang W (2019) Emotion recognition based on physiological signals using brain asymmetry index and echo state network. Neural Comput Appl 31:4491–4501. https://doi.org/10.1007/s00521-018-3664-1
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3. Wang Y, Wang X, He C (2021) Speech emotion recognition algorithm for school bullying detection based on MFCC-PCA-SVM classification. In: Lecture Notes in Electrical Engineering. pp 1088–1093. Springer Singapore, Singapore. https://doi.org/10.1007/978-981-15-8411-4_143
4. Gu H, Chen Q, Xing X, Zhao J, Li X (2019) Facial emotion recognition in deaf children: Evidence from event-related potentials and event-related spectral perturbation analysis. Neurosci Lett 703:198–204. https://doi.org/10.1016/j.neulet.2019.01.032
5. Abhang PA, Gawali BW, Mehrotra SC (2016) Introduction to EEG and Speech-based emotion recognition. Elsevier. https://doi.org/10.1016/C2015-0-01959-1
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